updated model

app.py

@@ -20,7 +20,7 @@ def merge_tokens(tokens: List[Dict[str, any]]) -> List[Dict[str, any]]:
 device = 0 if torch.cuda.is_available() else -1
 
 # Initialize Model
-get_completion = pipeline("ner", model="kazalbrur/bangla-english-med-bert-ner", device=device)
+get_completion = pipeline("ner", model="kazalbrur/BanglaMedNER", device=device)
 
 @spaces.GPU(duration=120)
 def ner(input: str) -> Dict[str, Any]:
@@ -32,10 +32,10 @@ def ner(input: str) -> Dict[str, Any]:
         return {"text": input, "entities": [], "error": str(e)}
 
 ####### GRADIO APP #######
-title = """<h1 id="title"> Bangla Banglish and English Bio-Medical Entity Recognition </h1>"""
+title = """<h1 id="title"> Bangla Bio-Medical Entity Recognition </h1>"""
 
 description = """
-- The model used for Recognizing entities [BERT-BASE-NER](https://huggingface.co/kazalbrur/bangla-english-med-bert-ner).
+- The model used for Recognizing entities [BERT-BASE-NER](https://huggingface.co/kazalbrur/BanglaMedNER).
 """
 
 css = '''